Mike P. Papazoglou – författare

We have described the development of a new micro-payment system, NetPay, f- turing different ways of managing electronic money, or e-coins. NetPay provides an off-line, anonymous protocol that supports high-volume, low-cost electronic trans- tions over the Internet. We developed three kinds of e-wallets to manage coins in a NetPay-based system: a sever-side e-wallet allowing multiple computer access to- coins; a client-side e-wallet allowing customer PC management of the e-coins, and a cookie-based e-wallet cache to improve performance of the client-side e-wallet c- munication overhead. Experiences to date with NetPay prototypes have demonstrated it provides an effective micro-payment strategy and customers welcome the ability to manage their electronic coins in different ways. References 1. Dai, X. and Lo, B.: NetPay – An Efficient Protocol for Micropayments on the WWW. Fifth Australian World Wide Web Conference, Australia (1999) 2. Dai, X., Grundy, J. and Lo, B.: Comparing and contrasting micro-payment models for- commerce systems, International Conferences of Info-tech and Info-net (ICII), China (2001) 3. Dai, X., Grundy, J.: Architecture of a Micro-Payment System for Thin-Client Web App- cations. In Proceedings of the 2002 International Conference on Internet Computing, Las Vegas, CSREA Press, June 24-27, 444--450 4. Dai, X. and Grundy J.: “Customer Perception of a Thin-client Micro-payment System Issues and Experiences”, Journal of End User Computing, 15(4), pp 62-77, (2003).

We have described the development of a new micro-payment system, NetPay, f- turing different ways of managing electronic money, or e-coins. NetPay provides an off-line, anonymous protocol that supports high-volume, low-cost electronic trans- tions over the Internet. We developed three kinds of e-wallets to manage coins in a NetPay-based system: a sever-side e-wallet allowing multiple computer access to- coins; a client-side e-wallet allowing customer PC management of the e-coins, and a cookie-based e-wallet cache to improve performance of the client-side e-wallet c- munication overhead. Experiences to date with NetPay prototypes have demonstrated it provides an effective micro-payment strategy and customers welcome the ability to manage their electronic coins in different ways. References 1. Dai, X. and Lo, B.: NetPay – An Efficient Protocol for Micropayments on the WWW. Fifth Australian World Wide Web Conference, Australia (1999) 2. Dai, X., Grundy, J. and Lo, B.: Comparing and contrasting micro-payment models for- commerce systems, International Conferences of Info-tech and Info-net (ICII), China (2001) 3. Dai, X., Grundy, J.: Architecture of a Micro-Payment System for Thin-Client Web App- cations. In Proceedings of the 2002 International Conference on Internet Computing, Las Vegas, CSREA Press, June 24-27, 444--450 4. Dai, X. and Grundy J.: “Customer Perception of a Thin-client Micro-payment System Issues and Experiences”, Journal of End User Computing, 15(4), pp 62-77, (2003).

These are the proceedings of the 11th International Workshop on Cooperative Information Agents (CIA 2007), held at the Delft University of Technology, The Netherlands, September 19–21, 2007. Intoday’sworldofubiquitouslyconnectedheterogeneousinformationsystems and computing devices, the intelligent coordination and provision of relevant added-value information at any time, anywhere is of key importance to a va- ety of applications. This challenge is envisioned to be coped with by means of appropriate intelligent and cooperative information agents. An information agent is a computational software entity that has access to one or multiple heterogeneous and geographically dispersed data and infor- tion sources. It pro-actively searches for and maintains information on behalf of its human users, or other agents preferably just in time. In other words, it is managing and overcoming the di?culties associated with information overload in open, pervasive information and service landscapes. Each component of a modern cooperative information system is represented by an appropriate intelligent information agent capable of resolving system and semantic heterogeneities in a given context on demand. Cooperative infor- tion agents are supposed to accomplish both individual and shared joint goals depending on the actual user preferences in line with given or deduced limits of time, budget and resources available. One major challenge of developing age- based intelligent information systems in open environments like the Internet and the Web is to balance the autonomy of networked data, information, and knowledge sources with the potential payo?s of leveraging them by the use of cooperative and intelligent information agents.